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Compare IBM Watson Studio and Microsoft Fabric 
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At a Glance
Market Segments
Enterprise (51.3% of reviews)
Enterprise (55.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM Watson Studio
Star Rating
(164)4.2 out of 5
Market Segments
Enterprise (51.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson StudioMicrosoft Fabric
Star Rating
(18)4.6 out of 5
Market Segments
Enterprise (55.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft FabricSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Watson Studio excels in its Data Governance capabilities, scoring 9.5, which allows for robust management of data policies and compliance. In contrast, Microsoft Fabric, while still strong, scores lower at 8.3, indicating that users may find it less comprehensive in this area.
- Reviewers mention that IBM Watson Studio's Ease of Deployment is a standout feature, with a score of 9.8, making it particularly user-friendly for teams looking to implement solutions quickly. Microsoft Fabric, however, has a respectable score of 9.0, but some users feel it could be more intuitive.
- G2 users highlight the superior Machine Learning Services in Microsoft Fabric, particularly in Computer Vision and Natural Language Understanding, where it scores 9.8 and 8.9 respectively. Users say that these features are more advanced compared to IBM Watson Studio's offerings, which score 8.5 and 8.5 in the same categories.
- Users on G2 report that IBM Watson Studio shines in Data Quality and Cleansing, achieving a score of 9.2, which is crucial for ensuring accurate data analysis. Microsoft Fabric, while effective, scores slightly lower at 8.6, suggesting that users may find Watson Studio more reliable for maintaining data integrity.
- Reviewers mention that IBM Watson Studio's Pre-Built Algorithms score of 9.2 is a significant advantage for users looking to leverage existing models quickly. In comparison, Microsoft Fabric's score of 9.0 is commendable but indicates that Watson Studio may offer a broader selection of ready-to-use algorithms.
- Users say that the Collaboration features in IBM Watson Studio, scoring 9.4, facilitate teamwork effectively, allowing multiple users to work on projects seamlessly. Microsoft Fabric, with a score of 8.8, is still collaborative but may not provide the same level of integration and ease of use for team projects.
Pricing
Entry-Level Pricing
IBM Watson Studio
No pricing availableMicrosoft Fabric
No pricing availableFree Trial
IBM Watson Studio
No trial information availableMicrosoft Fabric
No trial information availableRatings
Meets Requirements
8.3
121
9.3
18
Ease of Use
8.0
122
9.0
18
Ease of Setup
7.6
100
9.0
7
Ease of Admin
7.8
95
Not enough data
Quality of Support
8.2
113
9.1
18
Has the product been a good partner in doing business?
8.0
94
Not enough data
Product Direction (% positive)
8.5
115
10.0
18
Features by Category
Data Source Access
9.0
13
Not enough data
9.3
12
Not enough data
9.2
14
Not enough data
Data Interaction
9.0
14
Not enough data
9.2
12
Not enough data
9.4
12
Not enough data
9.1
13
Not enough data
9.2
12
Not enough data
9.2
13
Not enough data
9.1
13
Not enough data
9.6
12
Not enough data
Data Exporting
9.4
12
Not enough data
9.2
12
Not enough data
9.2
12
Not enough data
Generative AI
Not enough data
Not enough data
Deployment
8.8
8
8.9
16
9.2
8
8.9
16
9.0
8
8.8
16
9.4
8
8.9
16
8.8
8
9.2
16
Deployment
9.0
8
9.0
16
8.8
8
9.3
16
8.8
8
9.2
16
9.4
8
9.2
16
9.2
8
9.3
16
Management
9.3
7
8.8
15
9.6
8
8.9
16
9.0
7
9.0
15
9.0
8
9.0
15
Operations
9.0
8
9.0
16
9.0
8
9.0
16
9.3
7
9.1
16
Management
9.5
7
8.6
16
9.4
8
8.7
15
8.8
7
8.7
15
Generative AI
Not enough data
8.1
14
Not enough data
8.2
14
System
9.0
12
Not enough data
Model Development
8.5
33
Not enough data
8.8
34
Not enough data
8.5
35
Not enough data
8.3
36
Not enough data
Model Development
9.4
13
Not enough data
Machine/Deep Learning Services
8.5
27
Not enough data
8.5
34
Not enough data
Feature Not Available
Not enough data
8.6
28
Not enough data
Machine/Deep Learning Services
8.9
12
Not enough data
9.0
12
Not enough data
Deployment
8.5
32
Not enough data
8.6
33
Not enough data
8.6
30
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Setup
8.6
7
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
Data
8.6
7
Not enough data
8.6
7
Not enough data
Analysis
9.7
6
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
8.1
7
Not enough data
7.9
7
Not enough data
Customization
9.0
7
Not enough data
8.1
7
Not enough data
9.2
6
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.0
14
Not enough data
8.4
15
Not enough data
8.1
15
Not enough data
Data Analysis
8.7
15
Not enough data
9.0
14
Not enough data
Decision Making
8.6
14
Not enough data
8.6
15
Not enough data
8.3
13
Not enough data
8.7
14
Not enough data
Generative AI
9.3
5
Not enough data
8.3
5
Not enough data
Categories
Categories
Shared Categories
IBM Watson Studio and Microsoft Fabric are categorized as MLOps Platforms
Unique Categories
IBM Watson Studio is categorized as Text Analysis, Data Science and Machine Learning Platforms, Predictive Analytics, and Data Preparation
Microsoft Fabric has no unique categories
Reviews
Reviewers' Company Size
IBM Watson Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Microsoft Fabric
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
15.8%
Computer Software
13.3%
Telecommunications
8.2%
Banking
7.6%
Education Management
5.7%
Other
49.4%
Information Technology and Services
16.7%
Education Management
16.7%
Manufacturing
11.1%
Electrical/Electronic Manufacturing
11.1%
Consulting
5.6%
Other
38.9%
Alternatives
Discussions
IBM Watson Studio has no discussions with answers
Microsoft Fabric has no discussions with answers
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